Travelled to:1 × Ireland
1 × United Kingdom
3 × China
3 × USA
Collaborated with:J.Li H.Wang Z.Zou Y.Yang J.X.Yu J.Luo X.Zhang L.Li S.Zhang Y.Liu X.Fang J.Wang S.Wu B.C.Ooi S.Shi W.Zhang M.Li Y.Bu J.Zhang
Talks about:graph (5) base (4) subgraph (3) entiti (3) data (3) uncertain (2) frequent (2) product (2) databas (2) system (2)
Person: Hong Gao
DBLP: Gao:Hong
Contributed to:
2014
2014
201320122011
2010
20102009200920082007Wrote 11 papers:
- CIKM-2014-WangLBLGZ #big data #named
- Cleanix: A Big Data Cleaning Parfait (HW, ML, YB, JL, HG, JZ), pp. 2024–2026.
- VLDB-2014-YangGYL #constraints #graph
- Finding the Cost-Optimal Path with Time Constraint over Time-Dependent Graphs (YY, HG, JXY, JL), pp. 673–684.
- SIGIR-2013-WangZLG #e-commerce #named #retrieval
- ProductSeeker: entity-based product retrieval for e-commerce (HW, XZ, JL, HG), pp. 1085–1086.
- CIKM-2012-YangYGL #graph #multi
- Finding the optimal path over multi-cost graphs (YY, JXY, HG, JL), pp. 2124–2128.
- CIKM-2011-LiLWG
- Context-based entity description rule for entity resolution (LL, JL, HW, HG), pp. 1725–1730.
- KDD-2010-ZouGL #database #graph #nondeterminism #probability #semantics
- Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics (ZZ, HG, JL), pp. 633–642.
- SIGMOD-2010-WangWGLO #multi
- Indexing multi-dimensional data in a cloud system (JW, SW, HG, JL, BCO), pp. 591–602.
- CIKM-2009-ZouLGZ #graph #mining #nondeterminism
- Frequent subgraph pattern mining on uncertain graph data (ZZ, JL, HG, SZ), pp. 583–592.
- VLDB-2009-LiuLGF #approximate #network #query
- Enabling epsilon-Approximate Querying in Sensor Networks (YL, JL, HG, XF), pp. 169–180.
- VLDB-2008-WangLLG #documentation #query #xml
- Hash-base subgraph query processing method for graph-structured XML documents (HW, JL, JL, HG), pp. 478–489.
- SIGMOD-2007-LiGLSZ #clustering #database #named #parallel
- InfiniteDB: a pc-cluster based parallel massive database management system (JL, HG, JL, SS, WZ), pp. 899–909.